Model card
ABINet++.
UnknownunknownUnknown paramsUnknown
Imported from Papers With Code
§ 02 · Benchmarks
Every benchmark ABINet++ has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | scut-ctw1500 | Computer Vision · Optical Character Recognition | f-measure-no-lexicon | 60.2% | #4 | 2022-11-19 | source ↗ |
| 02 | scut-ctw1500 | Computer Vision · Optical Character Recognition | f-measure-full-lexicon | 80.3% | #5 | 2022-11-19 | source ↗ |
Rank column shows this model’s position vs all other models scored on the same benchmark + metric (competitors after the slash). #1 in red means current SOTA. Sorted by rank, then newest result.
§ 04 · Papers
1 paper with results for ABINet++.
- 2022-11-19· Computer Vision· 2 results
ABINet++: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text Spotting
§ 05 · Related models
Other Unknown models scored on Codesota.
CRAFT
Unknown params · 21 results
GPT-2-Large (fine-tuning)
Unknown params · 20 results
HTLM (fine-tuning)
Unknown params · 20 results
TextFuseNet (ResNeXt-101)
Unknown params · 16 results
MixNet
Unknown params · 13 results
PAN
Unknown params · 12 results
SPCNET
Unknown params · 12 results
TESTR
Unknown params · 12 results
§ 06 · Sources & freshness
Where these numbers come from.
papers-with-code
2
results
2 of 2 rows marked verified.